About
**Discover Mycology: Advancing Fungi Research with IgMin Research**
Explore the expanding world of mycology and uncover groundbreaking research on fungi. IgMin Research provides a leading platform for:
• **Mycology journal submission:** Seamlessly submit manuscripts on diverse fungal studies for global recognition. [Quick Submission](https://www.igminresearch.com/quick-submission)
• **Mycology research publishing:** Benefit from a rigorous peer review and expert editorial support, ensuring high standards and visibility.
• **Submit manuscript on fungi:** Easily upload your latest discoveries and contribute to advancements in mycology. [Manuscript Guidelines](https://www.igminresearch.com/pages/manuscript-guidelines)
Additional advantages:
• Open-access publication for maximum reach
• Transparent, fast-track submission process
• Dedicated support for authors at every stage
Take your research further! Submit your work now via our main portal: [Submit Manuscript](https://www.igminresearch.com/submission)
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Prevalence of Non-specific Low Back Pain Among Chinese Healthcare Workers (Surgeons and Surgical Nurses): A Multi-Center Survey Study
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Application of Virtual Reality (VR) in Facility Management Competency-based Training (CBT) in the Era of Industrie 5.0
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
- Sensor-based Sorting using De-XRT Sensor Applied to a Greenfield Copper Ore Project in Southern Brazil
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
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